R in a Nutshell: A Desktop Quick Reference Joseph Adler

ISBN: 9781449300692

Published: January 1st 2010

ebook

636 pages


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R in a Nutshell: A Desktop Quick Reference  by  Joseph Adler

R in a Nutshell: A Desktop Quick Reference by Joseph Adler
January 1st 2010 | ebook | PDF, EPUB, FB2, DjVu, audiobook, mp3, RTF | 636 pages | ISBN: 9781449300692 | 4.74 Mb

Why learn R? Because its rapidly becoming the standard for developing statistical software. R in a Nutshell provides a quick and practical way to learn this increasingly popular open source language and environment. Youll not only learn how toMoreWhy learn R? Because its rapidly becoming the standard for developing statistical software. R in a Nutshell provides a quick and practical way to learn this increasingly popular open source language and environment.

Youll not only learn how to program in R, but also how to find the right user-contributed R packages for statistical modeling, visualization, and bioinformatics.The author introduces you to the R environment, including the R graphical user interface and console, and takes you through the fundamentals of the object-oriented R language.

Then, through a variety of practical examples from medicine, business, and sports, youll learn how you can use this remarkable tool to solve your own data analysis problems. Understand the basics of the language, including the nature of R objects Learn how to write R functions and build your own packages Work with data through visualization, statistical analysis, and other methods Explore the wealth of packages contributed by the R community Become familiar with the lattice graphics package for high-level data visualization Learn about bioinformatics packages provided by BioconductorI am excited about this book.

R in a Nutshell is a great introduction to R, as well as a comprehensive reference for using R in data analytics and visualization. Adler provides real world examples, practical advice, and scripts, making it accessible to anyone working with data, not just professional statisticians.



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